ON THE URBAN PLANNING OPTIMIZATION PROBLEMS VIA $g$-INVERSE GP METHOD
Keywords:
g-inverse geometric programming, optimal cost for urban planning, optimization in engineering, accessibility, district, populationDOI:
https://doi.org/10.17654/0974165825041Abstract
In this paper, we develop a g-inverse geometric programming model for urban planning optimization problems. The nature of this problem is complex because of the resulting rectangular exponent matrix with so many positive degrees of difficulty. This method has helped to solve such a complex problem and eliminate the use of condensation, which would require higher-order mathematics. From the solution to the modelled urban planning optimization problem, we were able to determine the optimal cost for urban planning for the five selected districts in Owerri to be $2.625 × 10^6$. We also estimated the lower and upper bound populations of the districts in the next two years. Our model is robust and has demonstrated its capacity to handle such tasks of cost estimation and population estimation with less difficulty.
Received: December 2, 2024
Revised: June 6, 2025
Accepted: July 9, 2025
References
[1] J. J. Dinkel and G. A. Kochenberger, On the solution of regional planning models via geometric programming, Environment and Planning 5 (1973), 397-408.
[2] H. O. Amuji, F. I. Ugwuowo, W. I. E. Chukwu and P. I. Uche, A modified generalised inverse method for solving geometric programming problems with extended degrees of difficulties Int. J. Oper. Res. 38(1) (2020), 19-30.
[3] H. O. Amuji, G. U. Ugwuanyim and C. O. Nwosu, A solution to geometric programming problems with negative degrees of difficulty, Advances and Applications in Discrete Mathematics 26(2) (2021), 221-230.
[4] H. O. Amuji, F. I. Ugwuowo, C. C. Nwachi, B. N. Okechukwu and I. O. Okeoma, On exact optimal solution to geometric programming problems, Advances and Applications in Discrete Mathematics 41(5) (2024), 429-439.
[5] R. J. Duffin, E. L. Peterson and C. Zener, Geometric Programming, John Wiley, New York, 1967.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 PUSHPA PUBLISHING HOUSE, PRAYAGRAJ, INDIA

This work is licensed under a Creative Commons Attribution 4.0 International License.
_________________________
Attribution: Credit Pushpa Publishing House as the original publisher, including title and author(s) if applicable.
Contact Pushpa Publishing House for more info or permissions.
Journal Impact Factor: 